Why Context Matters: The Influence of Application Domain on Preferred Degree of Anthropomorphism and Gender Attribution in Human–Robot Interaction

Abstract

AbstractThe application of anthropomorphic design features is widely believed to facilitate human–robot interaction. However, the preference for robots’ anthropomorphism is highly context sensitive, as different application domains induce different expectations towards robots. In this study the influence of application domain on the preferred degree of anthropomorphism is examined. Moreover, as anthropomorphic design can reinforce existing gender stereotypes of different work domains, gender associations were investigated. Therefore, participants received different context descriptions and subsequently selected and named one robot out of differently anthropomorphic robots in an online survey. The results indicate that lower degrees of anthropomorphism are preferred in the industrial domain and higher degrees of anthropomorphism in the social domain, whereas no clear preference was found in the service domain. Unexpectedly, mainly functional names were ascribed to the robots and if human names were chosen, male names were given more frequently than female names even in the social domain. The results support the assumption that the preferred degree of anthropomorphism depends on the context. Hence, the sociability of a domain might determine to what extent anthropomorphic design features are suitable. Furthermore, the results indicate that robots are overall associated more functional, than gendered (and if gendered then masculine). Therefore, the design features of robots should enhance functionalities, rather than specific gendered anthropomorphic attributes to avoid stereotypes and not further reinforce the association of masculinity and technology.